Model Comparison
o3-mini (high)
vs. Qwen2.5 Turbo
Comparing 2 AI models · 11 benchmarks · OpenAI, Alibaba
Recommended Pick
Opo3-mini (high)10 metric winsStrongest on: Throughput, Reasoning, Intelligence
Best Value
Qwen2.5 Turbo
100.0 value score
28.8 reasoning / $0.09/1M
Lowest Price
Qwen2.5 Turbo
$0.05/1M input price
Best Reasoning
o3-mini (high)
57.9 reasoning score
Blends available reasoning benchmarks
Best for Coding
o3-mini (high)
16.3 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Qwen2.5 Turbo has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen2.5 Turbo is 22x cheaper on input tokens than o3-mini (high).
Speed gap
o3-mini (high) generates about 2.1x as many tokens per second as Qwen2.5 Turbo.
Reasoning gap
o3-mini (high) leads Qwen2.5 Turbo by 29.1 points on reasoning.
Top-pick rationale
o3-mini (high) wins 10 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
o3-mini (high)
OpenAI
TTFT
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Time
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tok/s
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Tokens
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Cost
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Qwen2.5 Turbo
Alibaba
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Op o3-mini (high) | Al Qwen2.5 Turbo |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.10/1M | $0.05/1M |
| Output Cost | $4.40/1M | $0.20/1M |
| Blended (3:1) | $1.93/1M | $0.09/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Jan 31, 2025 | Nov 18, 2024 |
| Performance & Speed | ||
| Throughput | 235.2 tok/s | 114.7 tok/s |
| TTFT | 17153ms | 1102ms |
| Latency | 17153ms | 1102ms |
| Composite Indices | ||
| Value Score | 9.1 | 100.0 |
| Reasoning Score | 57.9 | 28.8 |
| Intelligence | 15.6 | 6.3 |
| Coding | 16.3 | — |
| Standard Benchmarks | ||
| GPQA | 77.3% | 41.0% |
| MMLU Pro | 80.2% | 63.3% |
| HLE | 12.3% | 4.2% |
| LiveCodeBench | 73.4% | 16.3% |
| MATH 500 | 98.5% | 80.5% |
| AIME (Original) | 86.0% | 12.0% |
| SciCode | 39.8% | 15.3% |
| LCR | 39.3% | — |
| IFBench | 67.1% | — |
| TAU-bench v2 | 31.3% | — |
| TerminalBench Hard | 6.1% | — |
Key Takeaways
Qwen2.5 Turbo offers the best value at $0.05/1M,making it ideal for high-volume applications and cost-conscious projects.
o3-mini (high) has the strongest reasoning profile with a 57.9 reasoning score,combining the available reasoning-heavy benchmarks.
o3-mini (high) reaches a 16.3 coding index,making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
o3-mini (high)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Qwen2.5 Turbo
- Cost-sensitive applications
- High-volume processing
